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Welocalize is seeking a skilled Machine Learning Engineer to join our team. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
The Machine Learning Engineer will be responsible for designing, developing, and implementing machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other technologies.
Key Responsibilities- Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM fine tuning, and quality assurance.
- Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
- Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
- Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
- Perform statistical analysis and fine-tuning using test results.
- Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
- Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments.
- Keep abreast of developments in the field, with a dedication to learning in the role.
- Document diligently and communicate thoughtfully about ML experimentation, design, and deployment.
- BS in Computer Science, Mathematics or similar field.
- Master's Degree is a plus.
- 3+ years experience as a Machine Learning Engineer or similar role.
We are looking for a highly skilled and motivated individual who can contribute to the success of our team. If you have a passion for machine learning and a strong background in computer science, we encourage you to apply for this exciting opportunity.
